In this paper we present a motivational mechanism to generate and determine the worth of goals and to represent various constraints involved in satisfying a goal. The work builds o...
This paper considers the use of software mobile agents as proxy agents, to provide seamless mobility and cater for heterogeneous devices and network characteristics. We specificall...
Optimal design is intractable in general. We identify a tractable class of design problems and propose the first framework for efficient, decision-theoretically optimal, collabo...
This paper provides general information about research at the University of Auckland into autonomous agents in highly dynamic environments, in particular in RoboCup. The paper desc...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...